233-LB: Depressive Symptom Trajectories among Youth and Young Adults with Type 1 Diabetes

Purpose: To characterize the burden of depressive symptoms over time in youth and young adults (YYA) with type 1 diabetes (T1D) by identifying subgroups that have similar trajectories of depressive symptoms and assessing baseline demographic predictors of these trajectories. Methods: YYA diagnosed w...

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Veröffentlicht in:Diabetes (New York, N.Y.) N.Y.), 2019-06, Vol.68 (Supplement_1)
Hauptverfasser: SUTHERLAND, MELANIE W., LOHMAN, MATTHEW, REBOUSSIN, BETH A., FLORY, KATE, BROWN, MONIQUE J., CORATHERS, SARAH, BELLATORRE, ANNA, LAWRENCE, JEAN M., YI-FRAZIER, JOYCE, PIHOKER, CATHERINE, LIESE, ANGELA D.
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container_issue Supplement_1
container_start_page
container_title Diabetes (New York, N.Y.)
container_volume 68
creator SUTHERLAND, MELANIE W.
LOHMAN, MATTHEW
REBOUSSIN, BETH A.
FLORY, KATE
BROWN, MONIQUE J.
CORATHERS, SARAH
BELLATORRE, ANNA
LAWRENCE, JEAN M.
YI-FRAZIER, JOYCE
PIHOKER, CATHERINE
LIESE, ANGELA D.
description Purpose: To characterize the burden of depressive symptoms over time in youth and young adults (YYA) with type 1 diabetes (T1D) by identifying subgroups that have similar trajectories of depressive symptoms and assessing baseline demographic predictors of these trajectories. Methods: YYA diagnosed with T1D between 2002-2005, ages 10.0 to 20.6 years, who were enrolled in the SEARCH for Diabetes in Youth Study baseline were included (n = 879, 47.6% female, 76.3% non-Hispanic white). Participants provided a baseline and at least one follow-up measure of depressive symptoms using the Center for Epidemiologic Studies - Depression (CES-D) scale over a five-year period. Group-based trajectory modeling was used to assign individuals to the most likely depressive symptom trajectory class, and multinomial logistic regression was used to assess predictors of trajectories. Depressive symptoms were interpreted based on established CES-D cut-offs for adolescents: minimal (0-15), mild (16-23), and moderate/severe (24-60). Results: Five depressive symptom trajectory classes were identified: little to no symptoms (63.2%), persistent minimal (22.2%), increasing from mild to moderate (4.6%), decreasing from mild to minimal (6.7%), and chronic moderate (3.3%). There were no significant differences in age at baseline among the groups. Significant demographic predictors of trajectories included sex, race/ethnicity, parental education, family income, and health insurance status. For example, the increasing mild to moderate trajectory had a greater proportion of Hispanic participants, public health insurance, and lower parental education compared to the little to no symptoms trajectory. Conclusion: Among YYA with T1D, unique trajectories of depressive symptoms show meaningful differences in demographic characteristics. These results provide insight into the identification of high-risk groups and potential target populations for prevention of chronic depressive symptoms.
doi_str_mv 10.2337/db19-233-LB
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Methods: YYA diagnosed with T1D between 2002-2005, ages 10.0 to 20.6 years, who were enrolled in the SEARCH for Diabetes in Youth Study baseline were included (n = 879, 47.6% female, 76.3% non-Hispanic white). Participants provided a baseline and at least one follow-up measure of depressive symptoms using the Center for Epidemiologic Studies - Depression (CES-D) scale over a five-year period. Group-based trajectory modeling was used to assign individuals to the most likely depressive symptom trajectory class, and multinomial logistic regression was used to assess predictors of trajectories. Depressive symptoms were interpreted based on established CES-D cut-offs for adolescents: minimal (0-15), mild (16-23), and moderate/severe (24-60). Results: Five depressive symptom trajectory classes were identified: little to no symptoms (63.2%), persistent minimal (22.2%), increasing from mild to moderate (4.6%), decreasing from mild to minimal (6.7%), and chronic moderate (3.3%). There were no significant differences in age at baseline among the groups. Significant demographic predictors of trajectories included sex, race/ethnicity, parental education, family income, and health insurance status. For example, the increasing mild to moderate trajectory had a greater proportion of Hispanic participants, public health insurance, and lower parental education compared to the little to no symptoms trajectory. Conclusion: Among YYA with T1D, unique trajectories of depressive symptoms show meaningful differences in demographic characteristics. These results provide insight into the identification of high-risk groups and potential target populations for prevention of chronic depressive symptoms.</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db19-233-LB</identifier><language>eng</language><publisher>New York: American Diabetes Association</publisher><subject>Adolescents ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (insulin dependent) ; Epidemiology ; Health risk assessment ; Mental depression ; Public health ; Risk groups ; Young adults</subject><ispartof>Diabetes (New York, N.Y.), 2019-06, Vol.68 (Supplement_1)</ispartof><rights>Copyright American Diabetes Association Jun 1, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>SUTHERLAND, MELANIE W.</creatorcontrib><creatorcontrib>LOHMAN, MATTHEW</creatorcontrib><creatorcontrib>REBOUSSIN, BETH A.</creatorcontrib><creatorcontrib>FLORY, KATE</creatorcontrib><creatorcontrib>BROWN, MONIQUE J.</creatorcontrib><creatorcontrib>CORATHERS, SARAH</creatorcontrib><creatorcontrib>BELLATORRE, ANNA</creatorcontrib><creatorcontrib>LAWRENCE, JEAN M.</creatorcontrib><creatorcontrib>YI-FRAZIER, JOYCE</creatorcontrib><creatorcontrib>PIHOKER, CATHERINE</creatorcontrib><creatorcontrib>LIESE, ANGELA D.</creatorcontrib><title>233-LB: Depressive Symptom Trajectories among Youth and Young Adults with Type 1 Diabetes</title><title>Diabetes (New York, N.Y.)</title><description>Purpose: To characterize the burden of depressive symptoms over time in youth and young adults (YYA) with type 1 diabetes (T1D) by identifying subgroups that have similar trajectories of depressive symptoms and assessing baseline demographic predictors of these trajectories. Methods: YYA diagnosed with T1D between 2002-2005, ages 10.0 to 20.6 years, who were enrolled in the SEARCH for Diabetes in Youth Study baseline were included (n = 879, 47.6% female, 76.3% non-Hispanic white). Participants provided a baseline and at least one follow-up measure of depressive symptoms using the Center for Epidemiologic Studies - Depression (CES-D) scale over a five-year period. Group-based trajectory modeling was used to assign individuals to the most likely depressive symptom trajectory class, and multinomial logistic regression was used to assess predictors of trajectories. Depressive symptoms were interpreted based on established CES-D cut-offs for adolescents: minimal (0-15), mild (16-23), and moderate/severe (24-60). Results: Five depressive symptom trajectory classes were identified: little to no symptoms (63.2%), persistent minimal (22.2%), increasing from mild to moderate (4.6%), decreasing from mild to minimal (6.7%), and chronic moderate (3.3%). There were no significant differences in age at baseline among the groups. Significant demographic predictors of trajectories included sex, race/ethnicity, parental education, family income, and health insurance status. For example, the increasing mild to moderate trajectory had a greater proportion of Hispanic participants, public health insurance, and lower parental education compared to the little to no symptoms trajectory. Conclusion: Among YYA with T1D, unique trajectories of depressive symptoms show meaningful differences in demographic characteristics. 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Methods: YYA diagnosed with T1D between 2002-2005, ages 10.0 to 20.6 years, who were enrolled in the SEARCH for Diabetes in Youth Study baseline were included (n = 879, 47.6% female, 76.3% non-Hispanic white). Participants provided a baseline and at least one follow-up measure of depressive symptoms using the Center for Epidemiologic Studies - Depression (CES-D) scale over a five-year period. Group-based trajectory modeling was used to assign individuals to the most likely depressive symptom trajectory class, and multinomial logistic regression was used to assess predictors of trajectories. Depressive symptoms were interpreted based on established CES-D cut-offs for adolescents: minimal (0-15), mild (16-23), and moderate/severe (24-60). Results: Five depressive symptom trajectory classes were identified: little to no symptoms (63.2%), persistent minimal (22.2%), increasing from mild to moderate (4.6%), decreasing from mild to minimal (6.7%), and chronic moderate (3.3%). There were no significant differences in age at baseline among the groups. Significant demographic predictors of trajectories included sex, race/ethnicity, parental education, family income, and health insurance status. For example, the increasing mild to moderate trajectory had a greater proportion of Hispanic participants, public health insurance, and lower parental education compared to the little to no symptoms trajectory. Conclusion: Among YYA with T1D, unique trajectories of depressive symptoms show meaningful differences in demographic characteristics. These results provide insight into the identification of high-risk groups and potential target populations for prevention of chronic depressive symptoms.</abstract><cop>New York</cop><pub>American Diabetes Association</pub><doi>10.2337/db19-233-LB</doi></addata></record>
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subjects Adolescents
Diabetes
Diabetes mellitus
Diabetes mellitus (insulin dependent)
Epidemiology
Health risk assessment
Mental depression
Public health
Risk groups
Young adults
title 233-LB: Depressive Symptom Trajectories among Youth and Young Adults with Type 1 Diabetes
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